Multi-waveform classification for seismic facies analysis. - Chengyun Song; Zhining Liu 001; Yaojun Wang; Xingming Li; Guangmin Hu (Comput. Geosci., 2017)

Scalable attribute-aware network embedding with locality. - Weiyi Liu; Zhining Liu 001; Toyotaro Suzumura; Guangmin Hu (CoRR, 2018)

Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks. - Zhining Liu 001; Dawei Zhou 003; Jingrui He (CIKM, 2019)

hpGAT: High-Order Proximity Informed Graph Attention Network. - Zhining Liu 001; Weiyi Liu; Pin-Yu Chen; Chenyi Zhuang; Chengyun Song (IEEE Access, 2019)

A scalable attribute-aware network embedding system. - Weiyi Liu; Zhining Liu 001; Fucai Yu; Pin-Yu Chen; Toyotaro Suzumura; Guangmin Hu (Neurocomputing, 2019)

Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. - Zhining Liu 001; Dawei Zhou 003; Yada Zhu; Jinjie Gu; Jingrui He (AAAI, 2020)

Two-Stage Audience Expansion for Financial Targeting in Marketing. - Zhining Liu 001; Xiao-Fan Niu; Chenyi Zhuang; Yize Tan; Yixiang Mu; Jinjie Gu; Guannan Zhang (CIKM, 2020)

Interpretability-Guided Convolutional Neural Networks for Seismic Fault Segmentation. - Zhining Liu 001; Cheng Zhou; Guangmin Hu; Chengyun Song (ICASSP, 2020)

Hubble: An Industrial System for Audience Expansion in Mobile Marketing. - Chenyi Zhuang; Ziqi Liu; Zhiqiang Zhang 012; Yize Tan; Zhengwei Wu; Zhining Liu 001; Jianping Wei; Jinjie Gu; Guannan Zhang; Jun Zhou 011; Yuan Qi 001 (KDD, 2020)

Adversarial Learning for Incentive Optimization in Mobile Payment Marketing. - Xuanying Chen; Zhining Liu 001; Li Yu; Sen Li; Lihong Gu; Xiaodong Zeng; Yize Tan; Jinjie Gu (CIKM, 2021)

Imbalance-Aware Uplift Modeling for Observational Data. - Xuanying Chen; Zhining Liu 001; Li Yu; Liuyi Yao; Wenpeng Zhang 003; Yi Dong; Lihong Gu; Xiaodong Zeng; Yize Tan; Jinjie Gu (AAAI, 2022)

Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction. - Yu Ma; Zhining Liu 001; Chenyi Zhuang; Yize Tan; Yi Dong; Wenliang Zhong; Jinjie Gu (KDD, 2022)

GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. - Xingyu Lu; Zhining Liu 001; Yanchu Guan; Hongxuan Zhang; Chenyi Zhuang; Wenqi Ma; Yize Tan; Jinjie Gu; Guannan Zhang (IJCAI, 2023)

Towards Robust Fairness-aware Recommendation. - Hao Yang; Zhining Liu 001; Zeyu Zhang 007; Chenyi Zhuang; Xu Chen 017 (RecSys, 2023)

Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster. - Hongxuan Zhang; Zhining Liu 001; Jiaqi Zheng 001; Chenyi Zhuang; Jinjie Gu; Guihai Chen (CoRR, 2023)

MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. - Zhitian Xie; Yinger Zhang; Chenyi Zhuang; Qitao Shi; Zhining Liu 001; Jinjie Gu; Guannan Zhang (AAAI, 2024)

Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction. - Yao Zhao; Zhining Liu 001; Tianchi Cai; Haipeng Zhang 004; Chenyi Zhuang; Jinjie Gu (CoRR, 2024)